Advances in Engineering Innovation

Advances in Engineering Innovation

Vol. 5, 25 December 2023


Open Access | Article

Personalized learning through AI

Maher Joe Khan Omar Jian * 1
1 University of North Florida

* Author to whom correspondence should be addressed.

Advances in Engineering Innovation, Vol. 5 Advances in Engineering Innovation,
Published 25 December 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Maher Joe Khan Omar Jian. Personalized learning through AI. AEI (2023) Vol. 5: 0-0. DOI: 10.54254/2977-3903/5/2023039.

Abstract

The realm of education is witnessing a transformative integration with Artificial Intelligence (AI), poised to redefine the contours of pedagogical strategies. Central to this transformation is the emergence of personalized learning experiences, where AI endeavors to tailor educational content and interactions to resonate with individual learners' unique needs, preferences, and pace. This paper delves into the multifaceted dimensions of AI-driven personalized learning, from its potential to enhance e-learning modules, the advent of AI-powered virtual tutors, to the ethical challenges it surfaces. As the tapestry of education becomes more intertwined with digital innovations, understanding AI's role in individualizing learning becomes paramount.

Keywords

artificial intelligence in education, personalized learning, virtual tutors, e-learning modules, ethical considerations in AI

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
ISBN (Print)
ISBN (Online)
Published Date
25 December 2023
Series
Advances in Engineering Innovation
ISSN (Print)
2977-3903
ISSN (Online)
2977-3911
DOI
10.54254/2977-3903/5/2023039
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated